Chief AI OfficerAcademic AffairsFull-TimeMontana Technological University provides a comprehensive benefits package for all eligible positions that includes health, dental and vision insurance, mandatory retirement plan with employer contribution, partial tuition waiver, and a wellness program.Applications received by
June 12th, will be guaranteed full review and consideration. Applications received after that date may be considered until an adequate applicant pool has been established.
DUTIES:INTERNAL APPLICANTS ONLY - Strategic Leadership and AI Governance
- Provide leadership for the development and implementation of a campus-wide framework for responsible AI adoption.
- Coordinate the evolution of the campus AI Working Group into a sustainable advisory or steering structure focused on policy, risk, innovation, professional development, and institutional priorities.
- Develop and refine practical guidance on AI use, including expectations related to academic integrity, data privacy, human oversight, transparency, model evaluation, and appropriate use of third-party tools.
- Collaborate with Information Technology, Academic Affairs, faculty governance, student support units, and administrative offices to establish safe and responsible boundaries for AI use involving student records, employee information, research data, intellectual property, and other sensitive materials.
- Represent Montana Tech in Montana University System and state-level conversations related to AI governance, academic innovation, and responsible technology adoption.
- Academic Innovation, Teaching, and Learning Assurance
- Work with faculty, academic departments, and the Center for Academic Innovation to support responsible and effective uses of AI in teaching and learning.
- Develop faculty-facing resources, workshops, syllabus guidance, assignment models, and assessment strategies that move beyond plagiarism policing toward learning assurance, critical thinking, transparent student use, and authentic demonstration of knowledge.
- Design and co-teach one 3-credit Leadership in STEM course each semester, with emphasis on ethical leadership, communication, technological change, responsible innovation, and applied problem-solving in science, engineering, and professional contexts.
- Support responsible experimentation with AI-assisted instruction, student support tools, hybrid learning models, alternative credentials, accessibility practices, and other instructional innovations.
- Help ensure that AI adoption strengthens student learning and intellectual development rather than replacing the cognitive work central to higher education.
- Administrative and Operational Enablement
- Partner with administrative and academic units to identify practical opportunities for AI-supported workflow improvement.
- Evaluate potential pilot projects in areas such as scheduling, document review, transcript evaluation, internal knowledge management, communications, reporting, and routine administrative processes.
- Work with Information Technology and relevant offices to identify and mitigate risks associated with unvetted AI tools, including privacy concerns, data leakage, uneven access, vendor dependency, and "shadow AI" use.
- Support the development of human-in-the-loop workflows that reduce routine burdens while preserving accountability, due process, accessibility, and sound professional judgment.
- Communication, Training, and Campus Engagement
- Translate complex technical, ethical, legal, and pedagogical issues into clear guidance for faculty, staff, students, and campus leaders.
- Develop or coordinate campus AI training materials, resource guides, FAQs, policy summaries, and best-practice examples.
- Support the creation and maintenance of an accessible campus AI resource hub or equivalent knowledge infrastructure.
- Promote a culture of shared inquiry, responsible experimentation, and continuous improvement around AI use.
- Research and External Context
- Support the Research Office and interested faculty in identifying opportunities where responsible AI governance, human-centered design, data ethics, or educational innovation may strengthen grant proposals and interdisciplinary initiatives.
- Monitor regional, state, national, and international developments in AI policy, technology governance, workforce transformation, and higher education practice.
- Help position Montana Tech as a thoughtful regional leader in responsible AI adoption aligned with its strengths in engineering, science, technology, energy, natural resources, health, business, and professional education.
REQUIRED QUALIFICATIONS:- Master's degree in a relevant field, including but not limited to technical communication, communication, information science, computer science, public policy, instructional design, education, humanities, social sciences, ethics, or a related STEM or professional field.
- Seven to ten years of progressively responsible experience in one or more of the following areas: academic leadership, technology adoption, digital systems, instructional innovation, organizational change, professional ethics, policy development, program administration, or institutional governance.
- Demonstrated ability to work effectively across multiple stakeholder groups, including faculty, students, staff, administrators, technical professionals, and external partners.
- Strong record of translating complex technical, ethical, or institutional issues into clear, practical guidance for diverse audiences.
- Working knowledge of responsible AI principles, data stewardship, privacy concerns, academic integrity challenges, or risk-based governance frameworks.
- Evidence of collaborative leadership, sound judgment, inclusive practice, and the ability to build trust in complex institutional environments.
- Commitment to student learning, academic integrity, responsible innovation, and the mission of a public STEM-focused university.
PREFERRED QUALIFICATIONS: - Ph.D., terminal degree, or equivalent advanced professional preparation in a relevant field.
- Experience as an academic administrator, department head, program director, faculty senate leader, center director, or chair of a multi-stakeholder institutional body.
- Experience developing or teaching courses in leadership, ethics, communication, technology, engineering education, professional practice, or related areas.
- Experience developing professional development, academic programs, instructional technology initiatives, ethics curricula, or institution-wide learning resources.
- Background in user-centered design, human-computer interaction, information architecture, usability, technical communication, visual communication, or public-facing digital systems.
- Familiarity with frameworks such as the NIST AI Risk Management Framework, FERPA, academic integrity standards, responsible innovation models, or emerging AI governance practices.
- Experience identifying, designing, or evaluating practical pilot projects that improve institutional workflows while managing risk.
For full consideration application materials must be complete. Please include:
- Cover letter addressing qualifications,
- Resume
- Contact information for 3 professional references.
Application Requirements
For full consideration application materials must be complete.Any offer of employment is contingent upon a satisfactory criminal background check. 
